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Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management

机译：医疗保健生态系统的数字技术和集体智能：优化流行管理的采用互联网

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摘要

This paper proposes a framework based on the collective intelligence principle to understand how the healthcare ecosystem is facing the challenges posed by the COVID-19 by using the Internet of Things (IoT) combined with other digital technologies. The underlying assumption is to consider the Healthcare ecosystem as a collective intelligence system in which the multitude of actors can be coordinated to address the pandemic-specific management challenges. The Italian healthcare ecosystem is analyzed as scenario taking in consideration the 'genes' of the collective intelligence: What is being done?, Who is doing it?, Why are they doing it? and How is it being done?. Our analysis introduces policy implications based on a unique decision support system (DSS) to allocate a limited set of IoT devices to a larger group of patients, to balance the alternative needs to improve the conditions of the most severe patients but to maximize the efficiency of device use.
机译：本文提出了一种基于集体智能原则的框架，了解医疗保健生态系统如何面临Covid-19通过使用互联网（物联网）与其他数字技术相结合的Covid-19所带来的挑战。 潜在的假设是将医疗保健生态系统视为集体情报制度，其中可以协调众多演员以解决特定于大流行的管理挑战。 意大利医疗保健生态系统被分析为考虑到集体智能的“基因”的情况：正在做什么？，谁在做什么？，他们为什么这样做？ 它是如何完成的？ 我们的分析介绍了基于独特的决策支持系统（DSS）的政策影响，将一组有限的IOT设备分配给更大的患者，以平衡替代方案来改善最严重患者的病症，但最大限度地提高效率 设备使用。

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